Henrik Kretzschmar

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 23

Top Topics

Object Detection

Autonomous Driving

Grand Challenge

Top Venues

Publications

Wei-Chih Hung, Vincent Casser, Henrik Kretzschmar, Jyh-Jing Hwang, Dragomir Anguelov
LET-3D-AP: Longitudinal Error Tolerant 3D Average Precision for Camera-Only 3D Detection. ICRA (2024)
Alex Zihao Zhu, Jieru Mei, Siyuan Qiao, Hang Yan, Yukun Zhu, Liang-Chieh Chen, Henrik Kretzschmar
Superpixel Transformers for Efficient Semantic Segmentation. CoRR (2023)
Alex Zihao Zhu, Jieru Mei, Siyuan Qiao, Hang Yan, Yukun Zhu, Liang-Chieh Chen, Henrik Kretzschmar
Superpixel Transformers for Efficient Semantic Segmentation. IROS (2023)
Wei-Chih Hung, Henrik Kretzschmar, Vincent Casser, Jyh-Jing Hwang, Dragomir Anguelov
LET-3D-AP: Longitudinal Error Tolerant 3D Average Precision for Camera-Only 3D Detection. CoRR (2022)
Jieru Mei, Alex Zihao Zhu, Xinchen Yan, Hang Yan, Siyuan Qiao, Liang-Chieh Chen, Henrik Kretzschmar
Waymo Open Dataset: Panoramic Video Panoptic Segmentation. ECCV (24) (2022)
Alex Zihao Zhu, Vincent Casser, Reza Mahjourian, Henrik Kretzschmar, Sören Pirk
Instance Segmentation with Cross-Modal Consistency. IROS (2022)
Zhao Chen, Vincent Casser, Henrik Kretzschmar, Dragomir Anguelov
GradTail: Learning Long-Tailed Data Using Gradient-based Sample Weighting. CoRR (2022)
Longlong Jing, Ruichi Yu, Henrik Kretzschmar, Kang Li, Charles R. Qi, Hang Zhao, Alper Ayvaci, Xu Chen, Dillon Cower, Yingwei Li, Yurong You, Han Deng, Congcong Li, Dragomir Anguelov
Depth Estimation Matters Most: Improving Per-Object Depth Estimation for Monocular 3D Detection and Tracking. ICRA (2022)
Jyh-Jing Hwang, Henrik Kretzschmar, Joshua Manela, Sean Rafferty, Nicholas Armstrong-Crews, Tiffany Chen, Dragomir Anguelov
CramNet: Camera-Radar Fusion with Ray-Constrained Cross-Attention for Robust 3D Object Detection. CoRR (2022)
Jyh-Jing Hwang, Henrik Kretzschmar, Joshua Manela, Sean Rafferty, Nicholas Armstrong-Crews, Tiffany Chen, Dragomir Anguelov
CramNet: Camera-Radar Fusion with Ray-Constrained Cross-Attention for Robust 3D Object Detection. ECCV (38) (2022)
Matthew Tancik, Vincent Casser, Xinchen Yan, Sabeek Pradhan, Ben Mildenhall, Pratul P. Srinivasan, Jonathan T. Barron, Henrik Kretzschmar
Block-NeRF: Scalable Large Scene Neural View Synthesis. CoRR (2022)
Alex Zihao Zhu, Vincent Casser, Reza Mahjourian, Henrik Kretzschmar, Sören Pirk
Instance Segmentation with Cross-Modal Consistency. CoRR (2022)
Jieru Mei, Alex Zihao Zhu, Xinchen Yan, Hang Yan, Siyuan Qiao, Yukun Zhu, Liang-Chieh Chen, Henrik Kretzschmar, Dragomir Anguelov
Waymo Open Dataset: Panoramic Video Panoptic Segmentation. CoRR (2022)
Matthew Tancik, Vincent Casser, Xinchen Yan, Sabeek Pradhan, Ben P. Mildenhall, Pratul P. Srinivasan, Jonathan T. Barron, Henrik Kretzschmar
Block-NeRF: Scalable Large Scene Neural View Synthesis. CVPR (2022)
Longlong Jing, Ruichi Yu, Henrik Kretzschmar, Kang Li, Charles R. Qi, Hang Zhao, Alper Ayvaci, Xu Chen, Dillon Cower, Yingwei Li, Yurong You, Han Deng, Congcong Li, Dragomir Anguelov
Depth Estimation Matters Most: Improving Per-Object Depth Estimation for Monocular 3D Detection and Tracking. CoRR (2022)
Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, Vijay Vasudevan, Wei Han, Jiquan Ngiam, Hang Zhao, Aleksei Timofeev, Scott Ettinger, Maxim Krivokon, Amy Gao, Aditya Joshi, Yu Zhang, Jonathon Shlens, Zhifeng Chen, Dragomir Anguelov
Scalability in Perception for Autonomous Driving: Waymo Open Dataset. CVPR (2020)
Zhao Chen, Jiquan Ngiam, Yanping Huang, Thang Luong, Henrik Kretzschmar, Yuning Chai, Dragomir Anguelov
Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout. CoRR (2020)
Zhenpei Yang, Yuning Chai, Dragomir Anguelov, Yin Zhou, Pei Sun, Dumitru Erhan, Sean Rafferty, Henrik Kretzschmar
SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving. CoRR (2020)
Zhao Chen, Jiquan Ngiam, Yanping Huang, Thang Luong, Henrik Kretzschmar, Yuning Chai, Dragomir Anguelov
Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout. NeurIPS (2020)
Wei-Chih Hung, Henrik Kretzschmar, Tsung-Yi Lin, Yuning Chai, Ruichi Yu, Ming-Hsuan Yang, Dragomir Anguelov
SoDA: Multi-Object Tracking with Soft Data Association. CoRR (2020)
Zhenpei Yang, Yuning Chai, Dragomir Anguelov, Yin Zhou, Pei Sun, Dumitru Erhan, Sean Rafferty, Henrik Kretzschmar
SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving. CVPR (2020)
Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, Vijay Vasudevan, Wei Han, Jiquan Ngiam, Hang Zhao, Aleksei Timofeev, Scott Ettinger, Maxim Krivokon, Amy Gao, Aditya Joshi, Yu Zhang, Jonathon Shlens, Zhifeng Chen, Dragomir Anguelov
Scalability in Perception for Autonomous Driving: Waymo Open Dataset. CoRR (2019)
Henrik Kretzschmar, Markus Spies, Christoph Sprunk, Wolfram Burgard
Socially compliant mobile robot navigation via inverse reinforcement learning. Int. J. Robotics Res. 35 (11) (2016)
Markus Kuderer, Christoph Sprunk, Henrik Kretzschmar, Wolfram Burgard
Online generation of homotopically distinct navigation paths. ICRA (2014)
Stefan Oßwald, Henrik Kretzschmar, Wolfram Burgard, Cyrill Stachniss
Learning to give route directions from human demonstrations. ICRA (2014)
Kai M. Wurm, Henrik Kretzschmar, Rainer Kümmerle, Cyrill Stachniss, Wolfram Burgard
Identifying vegetation from laser data in structured outdoor environments. Robotics Auton. Syst. 62 (5) (2014)
Henrik Kretzschmar, Markus Kuderer, Wolfram Burgard
Learning to predict trajectories of cooperatively navigating agents. ICRA (2014)
Markus Kuderer, Henrik Kretzschmar, Wolfram Burgard
Teaching mobile robots to cooperatively navigate in populated environments. IROS (2013)
Maximilian Beinhofer, Henrik Kretzschmar, Wolfram Burgard
Deploying artificial landmarks to foster data association in simultaneous localization and mapping. ICRA (2013)
Nichola Abdo, Henrik Kretzschmar, Luciano Spinello, Cyrill Stachniss
Learning manipulation actions from a few demonstrations. ICRA (2013)
Markus Kuderer, Henrik Kretzschmar, Christoph Sprunk, Wolfram Burgard
Feature-Based Prediction of Trajectories for Socially Compliant Navigation. Robotics: Science and Systems (2012)
Henrik Kretzschmar, Cyrill Stachniss
Information-theoretic compression of pose graphs for laser-based SLAM. Int. J. Robotics Res. 31 (11) (2012)
Jakob Ziegler, Henrik Kretzschmar, Cyrill Stachniss, Giorgio Grisetti, Wolfram Burgard
Accurate human motion capture in large areas by combining IMU- and laser-based people tracking. IROS (2011)
Cyrill Stachniss, Henrik Kretzschmar
Pose Graph Compression for Laser-Based SLAM. ISRR (2011)
Henrik Kretzschmar, Cyrill Stachniss, Giorgio Grisetti
Efficient information-theoretic graph pruning for graph-based SLAM with laser range finders. IROS (2011)
Henrik Kretzschmar, Giorgio Grisetti, Cyrill Stachniss
Lifelong Map Learning for Graph-based SLAM in Static Environments. Künstliche Intell. 24 (3) (2010)
Henrik Kretzschmar, Cyrill Stachniss, Christian Plagemann, Wolfram Burgard
Estimating landmark locations from geo-referenced photographs. IROS (2008)